Ramachandran, Harshawardhan: Short term plasticity. A neuromorphic perspective. 2018
Inhalt
- Declaration
- 1 Introduction
- 1.1 Motivation of this study
- 1.2 Objectives of this research
- 1.3 Main contribution of this work
- 1.4 Structure of the thesis
- 2 Short-term synaptic plasticity
- 2.1 Introduction
- 2.2 Models of Short-Term Plasticity
- 2.3 Computational role of STP
- 2.3.1 Temporal filtering
- 2.3.2 Burst detection
- 2.3.3 Gain control
- 2.3.4 Direction selectivity
- 2.3.5 Encoding sound intensity
- 2.4 Conclusion
- 3 Sub-threshold neuromorphic hardware
- 3.1 Introduction
- 3.2 MOSFET
- 3.3 Sub-threshold characteristics of a transistor
- 3.4 Basic building blocks of analog VLSI circuits
- 3.5 Silicon synapse
- 3.6 Silicon neuron
- 3.7 Neuron array
- 3.8 Neuromorphic architecture
- 3.9 Conclusion
- 4 Neuromorphic design of short-term plasticity circuits
- 4.1 Introduction
- 4.2 Analog sub-threshold neuromorphic STD circuits
- 4.3 STP circuits with recovery control
- 4.4 STP circuits with feedback recovery control
- 4.5 Simulations of STP circuits
- 4.6 Fabrication and testing of STP circuits
- 4.7 Conclusion
- 5 Neuromorphic model for cricket calling song recognition network
- 5.1 Introduction
- 5.2 Neurobiology of cricket phonotaxis
- 5.3 Experimental methods
- 5.4 Results
- 5.5 Discussion
- 5.6 Conclusion
- 6 Conclusion
- 6.1 Advantages of neuromorphic approach
- 6.2 Future works
- 6.3 Outlook of neuromorphic engineering research
- 7 Appendix